Volume 24 Issue 3
Mar.  2026
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YUN Jing, LIU Bin, LI Haibo, ZUO Junqin, ZHENG Jiao, MAO Wenjing, DENG Chunying. Relationship blood routine and coagulation related indicators with short term prognosis of acute perforator atherosclerotic cerebral infarction[J]. Chinese Journal of General Practice, 2026, 24(3): 375-378. doi: 10.16766/j.cnki.issn.1674-4152.004399
Citation: YUN Jing, LIU Bin, LI Haibo, ZUO Junqin, ZHENG Jiao, MAO Wenjing, DENG Chunying. Relationship blood routine and coagulation related indicators with short term prognosis of acute perforator atherosclerotic cerebral infarction[J]. Chinese Journal of General Practice, 2026, 24(3): 375-378. doi: 10.16766/j.cnki.issn.1674-4152.004399

Relationship blood routine and coagulation related indicators with short term prognosis of acute perforator atherosclerotic cerebral infarction

doi: 10.16766/j.cnki.issn.1674-4152.004399
Funds:

 20241125

  • Received Date: 2025-03-31
    Available Online: 2026-06-02
  •   Objective  To explore the correlation of blood routine-related indexes and coagulation index-related markers with the short-term prognosis of acute perforator atherosclerotic cerebral infarction, in order to provide a reference for early clinical intervention.  Methods  A total of 303 patients admitted to our department of neurology from October 2021 to September 2023 were consecutively recruited, and according to their short-term prognosis, they were divided into a good prognosis group (189 cases) and a poor prognosis group (114 cases). The two groups were compared with blood routine-related indexes [mean platelet volume (MPV), neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR)] and coagulation index-related markers [prothrombin time (PT), activated partial thromboplastin time (APTT), fibrinogen (FIB)]. Multivariate logistic regression analysis was applied to identify the relationship of the above indicators with the prognosis of acute perforator atherosclerotic cerebral infarction. ROC curve was plotted to analyze the predictive value of the indicators for disease prognosis in these patients.  Results  Compared with the good prognosis group, the MPV, NLR, PLR, and FIB in the poor prognosis group were significantly increased (P < 0.05), and the PT and APTT were significantly decreased (P < 0.05). Multivariate regression analysis showed that MPV, NLR, PLR, PT, APTT, and FIB were independent influencing factors for poor prognosis (P < 0.05). The results of ROC curve analysis showed that MPV, NLR, and PLR had certain predictive efficacy on the poor prognosis of patients. Among them, the area under the curve of NLR and PLR for predicting poor prognosis was 0.814 (95% CI: 0.763-0.865) and 0.753 (95% CI: 0.695-0.811), respectively. Compared with PLR, NLR had a significantly higher predictive value for prognosis (P=0.038). PT, APTT, and FIB all had certain predictive power for patients with poor prognosis in the near future, but there was no significant difference in the predictive value of the three.  Conclusion  MPV, NLR, PLR, PT, APTT, and FIB are associated with the short-term prognosis of acute perforator atherosclerotic cerebral infarction. Early monitoring and intervention can improve the prognosis.

     

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